Adaptive Control and Identification Using One Neural Network for a Class of Plants with Uncertainties
Xu, Bing Hong
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identification for a class ofcontrolled plants with linear and nonlinear uncertainties. This methoduses a single neural network for both control and identification, and asufficient condition of the local asymptotic stability is derived. Then, inorder to illustrate the applicability of the proposed method, it is applied tothe torque control of a flexible beam that includes linear and nonlinearstructural uncertainties.
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans
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Graduate School of Engineering